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- Real and iExec have signed a memorandum of understanding to explore privacy-preserving infrastructure for real-world institutional asset markets.
- The collaboration will evaluate confidential RWA issuance, crypto transaction flows, selective disclosure, and compliance-ready cross-chain financing.
Real and iExec move to one Coding Harder problems: privacy. The two companies signed a memorandum of understanding to explore the confidential infrastructure of real-world institutional asset markets, where they are public blockchain Transparency can be helpful, but it is not always acceptable.
Tokenized assets need privacy as well as verification
The real one is A First layer blockchain Designed for enterprise-level coding. Its infrastructure supports the full lifecycle of real assets, including onboarding, verification, risk assessment, governance, settlement and asset management. This is important because encoding the asset is only one part of the job. Organizations also need investor screening, reporting, risk controls, and operational workflows that can survive legal and audit scrutiny.
iExec brings a privacy layer. The company provides confidential computing infrastructure using trusted execution environments, including Intel TDX and its Nox protocol. This technology is designed to support encrypted data processing, secret smart contract implementation, selective disclosure, and verifiable computation.
The goal is to examine how the Nox protocol integrates with Layer 1 of Real to support confidential token assets, crypto balances, and private transaction flows. In plain terms, organizations want blockchains that can prove something happened without revealing every sensitive detail to the entire market.
“Organizations need more than just a token. They need infrastructure that protects sensitive financial data while allowing for compliance, oversight and auditability,” said Ivo Grigorov, CEO of Real.
Private credit and token funds are early targets
The companies will focus on use cases such as tokenized money, private credit, subscriptions, redemptions, dividends, lending, and structured credit. These are not casual retail flows. They often involve investor-sensitive allocations, proprietary pricing, counterparty information, and structured disclosures.
The difficult balance is between confidentiality and accountability. Regulators and auditors may need access to specific information, while market participants should not see everything by default. Selective detection could become the middle ground.
The MoU establishes a framework for technical discussions, identification of pilot projects and alignment of architecture. The real test will be whether confidential computing can make token finance usable for institutions without weakening blockchain’s fundamental promise of verifiability.
